Senior Azure Data Engineer - Lakehouse Databricks Expert Job Plano area,Texas USA,IT/Tech

Senior Azure Data Engineer (Azure Databricks)
Direct Hire
Plano, TX (Hybrid)

Overview
We’re partnering with aconfidential, enterprise-scale organization to hire a Senior Azure Data Engineer with deep expertise in Azure Databricks to help design, build, and optimize a modernlakehouse data platform. You’ll develop scalable ETL/ELT pipelines, implement Medallion (Bronze/Silver/Gold) patterns, and enable advanced analytics in a high-volume environment. This role collaborates closely with data architects, data scientists, business stakeholders, and cloud/infrastructure teams to deliver secure, reliable, high-performance data solutions.
What You’ll Do

Design and build scalableETL/ELT pipelines using

Azure Databricks(PySpark, Spark SQL).
Develop ingestion workflows from multiple source systems (e.g.,Event Hub, APIs, Azure SQL, Blob Storage) into Bronze/Silver/Gold layers.
Implement best practices for Delta Lakeand Unity Catalog(schema evolution, versioning, governance).
Optimize pipeline performance and cost through partitioning, caching, clustering, and Spark tuning.
Integrate Databricks withADLS Gen2, Azure Data Factory (ADF), Azure Synapse, Event Hub, Key Vault, and Azure Dev Ops.
Implement secure access controls using managed identities,RBAC, and data protection practices (e.g., masking).
Partner with analytics and business teams to deliver trusted datasets, metrics, and KPIs.
Provide technical leadership through mentoring, code reviews, and architectural guidance.
Work with enterprise architecture and security teams to align with data privacy/security policies.
Implement data quality checks, alerting, and lineage tracking using tools such as Great Expectations,Unity Catalog, and data observability platforms.
Build monitoring dashboards, alerts, and recovery mechanisms for critical pipelines.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
5+ years of data engineering experience, including 3+ years with Azure Databricks / Apache Spark (PySpark).
Strong experience with Delta Lake,Unity Catalog, Databricks notebooks, and SQL-based warehousing patterns.
Hands-on experience withADLS Gen2, Event Hub, ADF, Key Vault, Synapse.
Strong coding skills in Python and SQL; familiarity with Scalais a plus.
Solid understanding of data modeling (OLTP/OLAP), star/snowflake schemas, and performance tuning.
Experience implementing CI/CD for Databricks using

Databricks CLI, Terraform, and/or Azure Dev Ops.
Databricks certification (e.g.,Databricks Certified Data Engineer Professional).
Streaming/real-time pipelines (Structured Streaming, Event Hub, Kafka).
ML platform exposure (e.g.,MLflowor supporting ML pipelines).
Reporting/consumption layer experience (e.g.,Power BI,Purview,Microsoft Fabric).
Knowledge of governance/compliance standards (GDPR, HIPAA, SOC2).

Estimated Min Rate: $105000.00
Estimated Max Rate: $150000.00

What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you.

Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
Met Life Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct…